• DocumentCode
    1707354
  • Title

    Energy detection spectrum sensing of M-ary QAM systems over AWGN channels

  • Author

    Chaves, Daniel Sant Anna ; Barreto, André Noll

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Brasilia, Brasília, Brazil
  • fYear
    2012
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    This article addresses energy detection for spectrum sensing of M-ary quadrature amplitude modulation (QAM) systems. Analytical expressions are developed for the average probability of detection in these systems. The analytical results are validated by numerical simulations and comparisons with different approximated approaches found in the literature are made. We see that the approximations usually found in existing literature are good for a large number of sensing samples or for very low SNR levels, but, otherwise, the use of a particular modulation scheme may have an impact on sensing performance.
  • Keywords
    AWGN channels; modulation; numerical analysis; quadrature amplitude modulation; AWGN channels; M-ary QAM systems; M-ary quadrature amplitude modulation; SNR levels; detection probability; energy detection spectrum sensing; modulation scheme; numerical simulations; sensing performance; Cognitive radio; Energy states; Probability; Quadrature amplitude modulation; Sensors; Signal to noise ratio; Energy Detection; QAM systems; energy distribution; unknown signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems (ISWCS), 2012 International Symposium on
  • Conference_Location
    Paris
  • ISSN
    2154-0217
  • Print_ISBN
    978-1-4673-0761-1
  • Electronic_ISBN
    2154-0217
  • Type

    conf

  • DOI
    10.1109/ISWCS.2012.6328339
  • Filename
    6328339